11111

COURSE INTRODUCTION AND APPLICATION INFORMATION


se.cs.ieu.edu.tr

Course Name
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
Fall/Spring
Prerequisites
None
Course Language
Course Type
Elective
Course Level
-
Mode of Delivery -
Teaching Methods and Techniques of the Course
Course Coordinator
Course Lecturer(s)
Assistant(s) -
Course Objectives
Learning Outcomes The students who succeeded in this course;
  • Be able to learn impotency and difficulties of software measurement activity.
  • Be able to learn basic and advanced software measurement concepts.
  • To understand to measure internal and external measures of Software product.
  • To know industrial standards related with software measures.
Course Description

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
X
Media and Managment Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Required Materials
1 Introduction Fenton and Pfleeger, ch.1
2 The basics of measurement Fenton and Pfleeger, ch.2
3 Goalbased framework for measurement Fenton and Pfleeger, ch.3
4 Empirical investigation Fenton and Pfleeger, ch.4
5 Software measurement process ISO 15939
6 Measuring internal product attributes: size Fenton and Pfleeger, ch.7
7 Functional size measurement Kan, ch.18, Sommerville, ch.26
8 Review
9 Midterm exam
10 Measuring internal product attributes Fenton and Pfleeger, ch.8
11 Measuring external product attributes Fenton and Pfleeger, ch.9, ISO 9126
12 Measuring software reliability Fenton and Pfleeger, ch.10
13 Object oriented software measurement Chidamber and Kemerer
14 Object oriented software measurement Chidamber and Kemerer
15 General Evaluation
16 Review of the Semester  
Course Notes/Textbooks Fenton and Pfleeger, Software Metrics: A Rigorous Practical Approach, 2nd ed., PWS Publishing Company, 1998.
Suggested Readings/Materials Imagix 4D is an industry standard tool for source code analysis,static code analysis, software metrics and documentation. Kan S., Metrics and Models in Software Quality Engineering, , 2nd ed, AddisonWesley, 2003.ISO/IEC 15939: 2007. System and Software EngineeringMeasurement Process, International Organization for Standardization, 2007.ISO/IEC 91261: Software Engineering – Product Quality – Part 1: Quality model, International Organization for Standardization, 1999.Guide to the Software Engineering Body of Knowledge: 2004 ed., Abran and Moore, IEEE, April 2005.Sommerville, Software Engineering, 8e, AddisonWesley, 2007.The Common Software Measurement International Consortium, http://www.cosmicon.com/.Chidamber and Kemerer, A Metrics Suite for Object Oriented Design, IEEE Transactions on Software Engineering, Vol. 20, No. 6, June 1994.

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
-
-
Portfolio
Homework / Assignments
Presentation / Jury
Project
15
Seminar / Workshop
Oral Exam
Midterm
1
35
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
1
50
Weighting of End-of-Semester Activities on the Final Grade
1
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Course Hours
(Including exam week: 16 x total hours)
16
2
32
Laboratory / Application Hours
(Including exam week: 16 x total hours)
16
Study Hours Out of Class
16
1
Field Work
Quizzes / Studio Critiques
2
5
Portfolio
Homework / Assignments
Presentation / Jury
Project
Seminar / Workshop
Oral Exam
Midterms
1
9
Final Exams
1
23
    Total
90

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1 Be able to define problems in real life by identifying functional and nonfunctional requirements that the software is to execute X
2 Be able to design and analyze software at component, subsystem, and software architecture level X
3 Be able to develop software by coding, verifying, doing unit testing and debugging X
4 Be able to verify software by testing its behaviour, execution conditions, and expected results X
5 Be able to maintain software due to working environment changes, new user demands and the emergence of software errors that occur during operation X
6 Be able to monitor and control changes in the software, the integration of software with other software systems, and plan to release software versions systematically X
7 To have knowledge in the area of software requirements understanding, process planning, output specification, resource planning, risk management and quality planning
X
8 Be able to identify, evaluate, measure and manage changes in software development by applying software engineering processes X
9 Be able to use various tools and methods to do the software requirements, design, development, testing and maintenance X
10 To have knowledge of basic quality metrics, software life cycle processes, software quality, quality model characteristics, and be able to use them to develop, verify and test software X
11 To have knowledge in other disciplines that have common boundaries with software engineering such as computer engineering, management, mathematics, project management, quality management, software ergonomics and systems engineering X
12 Be able to grasp software engineering culture and concept of ethics, and have the basic information of applying them in the software engineering X
13

Be able to use a foreign language to follow related field publications and communicate with colleagues

X

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 

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